Hexagon Technology Center Gmbh

Hexagon Capability Center India Private Limited

Krishan Kumar Meghani

Bernd Reimann

Akshit Budhraja

Jyotirmoy Verma

Alexandre Heili

Srinivas Mallepally

Gona Uday Kumar

Nicholas Bade

Tanna Rahul Udaya Kiran

Kiran Kumar Bodla

Kumara Chandra Singarapu

Himanshu Mishra

Mohammad Rahil

Ankan Sengupta

Sathish Kumar Mogili

Kalyan Madhavaram

Systems and methods thereof, of generating a unique identification code for an industrial commodity. The method includes receiving a user query indicative of at least one constructional and operational characteristic of the commodity, inspecting the user query to determine whether the user query is complete for identification of the commodity, updating the user query based on the inspection, identifying at least one attribute of the commodity from the updated user query, based on a list of predefined attributes of the commodity, mapping the at least one attribute to at least one of predefined attribute types, predefined regional standards, predefined commodity rules, and predefined commodity types, and generating the unique identification code for the commodity, based on the mapping. The predefined attribute types may be a predefined commodity group and a predefined commodity part.

System and method for generation of a unique identification code of an industrial commodity

A system for generating task schedules using an electronic device includes: a processor, the processor comprising neural networks; a memory coupled to the processor; a scheduler coupled to the processor, the scheduler is configured to: receive: a total work database configured to contain items representing work packages; a resources database configured to contain items representing resources required to fulfill items in the work packages; a constraints database configured to contain items representing constraints to fulfilling items in the work packages; and a scheduling objective database configured to designate a prime objective that is to be achieved by the optimum task schedule; provide a trained reinforcement learning engine for optimizing the task schedule based on inputs from the databases; and generate an optimum work package schedule to sequence the work packages using the trained reinforcement learning engine, wherein the optimum work package schedule maximizes the one or more prime objectives.

Scheduling multiple work projects with a shared resource

A method of associating data from a plurality of databases is disclosed. The method comprises accessing a first database comprising a first dataset and a second database comprising a second dataset. The method further comprises identifying a first set of expressions and a second set of expressions corresponding to the first dataset and the second dataset, respectively. The method further comprises determining a first set of clusters and a second set of clusters corresponding to the first database and the second database, respectively. Furthermore, the method comprises creating a relational database based on a set of relationships and a mapping function determined based on the first set of clusters and the second set of clusters.

Method and system for advanced adaptive database matching

Growing community of inventors

Hyderabad Telangana, India

Krishan Kumar Meghani